AI & Computer Vision
with Raspberry Pi
Let’s Start with AI & Vision Systems for Young Innovators
Course Objective:
This course introduces students to the world of artificial intelligence and computer vision using Python and the Raspberry Pi. Learners will work with real-time video, images, and sensors to build interactive AI-powered systems such as facial recognition, object tracking, and smart automation solutions.
Key Learning Outcomes:
- Set up and configure Raspberry Pi with camera modules
- Use Python libraries like OpenCV and NumPy for image processing
- Apply basic AI techniques for face/object detection
- Work with real-time video input and process it for automation
- Develop vision-based systems for home automation and security
- Understand how to integrate AI logic with sensors and actuators
Topics Covered
- Installing and configuring Raspberry Pi with Raspberry Pi OS
- Setting up camera module or USB webcam
- Introduction to AI and Computer Vision
- Basics of image processing using OpenCV
- NumPy for pixel and matrix manipulation
- Face detection using Haar cascades
- Object and color tracking using contours
- Real-time video feed processing
- Smart responses to visual input (automation logic)
- Optional: Introduction to TensorFlow Lite for basic AI models
Projects (Total 6–8):
- Live Face Detection System
- Color Tracking Robot or Indicator
- Object Counter with Camera Feed
- Smart Mirror with Camera Trigger
- Face Recognition Door Lock System
- Gesture Recognition-Based Light Control
- Vision-Based Intrusion Detection Alert
- AI Surveillance Assistant with Sound/Light Feedback
- Age Group: 15–18 years
- Duration: 2 months
- Mode:Python Programming + Raspberry Pi Hardware + Computer Vision Toolsprogramming (hands-on coding)
Teaching Methodology:
- Step-by-step Python programming with live image input
- Building and debugging OpenCV applications
- Circuit and automation setup using Raspberry Pi GPIO
- Code walkthroughs and explanation of AI logic
- Real-time testing of vision systems
- Collaborative final project design & demonstration
Prerequisites:
- Prior experience with basic Python programming
- Familiarity with Raspberry Pi environment or Linux basics
- Basic understanding of sensors and GPIO use
Components, Hardware & Software Required
| Item | Purpose | Notes |
|---|---|---|
|
Raspberry Pi 4 (or 3B+)
|
Main computer and GPIO controller
|
Raspbian OS, camera compatible
|
|
Pi Camera / USB Webcam |
Vision input source
|
Used for capturing live feed |
|
MicroSD Card (16–32 GB)
|
OS and storage
|
Raspbian or Raspberry Pi OS image |
|
Power Supply
|
Powering the Raspberry Pi
|
5V/3A power adapter |
|
Monitor, Keyboard, Mouse
|
For setup and debugging
|
Optional if using SSH/VNC |
|
Relay/LED/Buzzer
|
Output components for vision triggers
|
Used for smart alerts |
|
Jumper Wires & Breadboard
|
GPIO circuit integration
|
For connecting outputs/sensors |
|
Sensors (PIR/IR/etc.)
|
Additional input sources
|
For hybrid projects |
Hardware Setup:
- Connect camera module to Raspberry Pi CSI port or USB webcam
- Use GPIO pins for alert systems (e.g., LED, buzzer)
- Run Python scripts to capture, analyze, and react to visuals
- Test face/object detection in real-world environments
Tools Needed:
- Laptop or PC for writing and transferring Python scripts
- Raspberry Pi setup with Python IDE (Thonny/VS Code)
- Basic electronics toolkit (breadboard, jumper wires, sensors)
Additional Resources:
- OpenCV official documentation and tutorials
- Raspberry Pi forums and GitHub vision projects
- Sample face detection and AI tracking code
Outcome & Benefits:
Students will gain hands-on experience in developing intelligent vision-based systems using real-time data, bridging AI, hardware, and automation. This course prepares learners for the future of AI, robotics, surveillance, and smart technology solutions
Key Highlights
Project Based Learning
Real World Project
Comprehensive Curriculum
Expert Instructors
6 Steps to your Course Path
Empowering Young Minds with Robotics, Coding, Innovation, and Future Skills
At Vctroid, we spark curiosity and creativity in students through hands-on robotics and coding education. Our expert-led training, gamified challenges, and international competition exposure prepare kids for tomorrow’s tech-driven world. Whether it’s logic building, real-world problem solving, or innovation—Vctroid equips young minds with future-ready skills, confidence, and a passion for technology. Let your child build the future today !
